CES in Las Vegas is an amazing event, partly through sheer scale. It is the largest trade show in Vegas, America’s trade show city. Apparently it was also the largest CES ever: two million square feet of exhibition space, 3,200 exhibitors, 150,000 industry attendees, of whom 35,000 were from outside the USA.

NVIDIA CEO Jen-Hsun Huang has announced the Grid Visual Computing Appliance (VCA). Install one of these, and users anywhere on the network can run graphically-demanding applications on their Mac, PC or tablet. The Grid VCA is based on remote graphics technology announced at last year’s GPU Technology Conference. This year’s event is currently under way

Which is better for massively parallel computing, a GPU accelerator board from NVidia, or Intel’s new Xeon Phi? On the eve of NVidia’s GPU Technology Conference comes a paper which Intel will enjoy. Erik Sauley, Kamer Kayay, and Umit V. C atalyurek from the Ohio State University have issued a paper with performance comparisons between

Nvidia’s Bill Dally has posted about the company’s progress towards exascale computing, boosted by a $12.4 million grant from the U.S. Department of Energy. He mentions that it would be possible to build an exascale supercomputer today, if you could supply enough power:

Exascale systems will perform a quintillion floating point calculations per second (that’s

Last month I was at Intel’s software conference learning about Many Integrated Core (MIC), the company’s forthcoming accelerator card for HPC (High Performance Computing). This month I am in San Jose for NVIDIA’s GPU Technology Conference learning about the latest development in NVIDIA’s platform for accelerated massively parallel computing using GPU cards and the CUDA

Yesterday NVIDIA announced the Geforce GRID, a cloud GPU service, here at the GPU Technology Conference in San Jose.

The Geforce GRID is server-side software that takes advantage of new features in the “Kepler” wave of NVIDIA GPUs, such as GPU virtualising, which enables the GPU to support multiple sessions, and an on-board encoder

NVIDIA’s GPU Technology conference is an unusual event, in part a get-together for academic researchers using HPC, in part a marketing pitch for the company. The focus of the event is on GPU computing, in other words using the GPU for purposes other than driving a display, such as processing simulations to model climate change